Staff AI Engineer in Belfast

Staff AI Engineer in Belfast

Belfast Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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Rapid7

At a Glance

  • Tasks: Lead the design and delivery of AI systems for next-gen security intelligence.
  • Company: Join Rapid7, a leader in cybersecurity with a collaborative culture.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Make a real impact in cybersecurity using cutting-edge AI technologies.
  • Qualifications: Experience in AI systems, Python, and modern ML frameworks required.
  • Other info: Dynamic environment with a focus on innovation and team collaboration.

The predicted salary is between 43200 - 72000 ÂŁ per year.

As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is looking for a passionate Senior AI Engineer to join Rapid7’s AI Centre of Excellence. The AI centre of excellence is on a mission to use AI to accelerate threat investigation, detection and response (D&R) capabilities of our Security Operations Centre (SOC) for both conventional networks and cloud environments.

You should be ready to design and deliver solutions that address complex, unsolved challenges, working closely with development teams, data engineering, product managers and UI/UX teams along the way.

The AI Center of Excellence team designs, prototypes and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7’s Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection.

We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. The environment is collaborative, sharing knowledge and developing internal learning. If you’re passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.

As a Staff AI Engineer, you will lead the design and delivery of AI systems that power next-generation security intelligence at scale. You’ll bridge the gap between R&D and production — architecting reliable, performant, and ethical AI systems that deliver measurable value to customers. You’ll serve as a technical lead for major initiatives, mentor other engineers, and drive adoption of best practices for model lifecycle management, experimentation, and observability.

Specifically, your focus will be to:

  • Lead the end-to-end design, implementation, and deployment of AI/ML models and systems that directly support customer-facing products.
  • Translate business or product goals into technical strategies, guiding data and model architecture decisions.
  • Drive adoption of scalable, reproducible workflows for experimentation, evaluation, and deployment.
  • Mentor and coach engineers and data scientists, fostering technical growth and knowledge sharing.
  • Partner closely with Product, Engineering, and UX teams to align AI development with product outcomes.
  • Stay current with emerging AI technologies (e.g., agentic frameworks, generative models, multimodal systems) and identify practical applications for cybersecurity use cases.
  • Contribute to the design of AI governance standards and responsible AI practices.

The Skills And Qualities You’ll Bring Include:

  • Proven expertise in building and deploying AI systems in production using Python and modern ML frameworks.
  • Hands-on experience with tools such as: scikit-learn, PyTorch, or TensorFlow for model development.
  • AWS Bedrock, Sagemaker, HuggingFace, or equivalent cloud AI stacks.
  • CrewAI or other orchestration frameworks for agentic AI systems.
  • Pandas, NumPy, Airflow, or Databricks for data engineering and workflow automation.
  • Understanding of model lifecycle management, including monitoring, retraining, and versioning.
  • Experience influencing architecture and tooling decisions across teams.
  • Ability to evaluate trade-offs between model performance, latency, and interpretability.
  • Familiarity with cybersecurity, or adjacent high-signal domains (e.g., finance, healthcare, marketplaces), is a strong plus.
  • Enjoy mentoring and elevating the technical performance of your peers.
  • Demonstrate curiosity and persistence - you’re excited to explore new techniques, tools, and ideas while maintaining focus on reliability and value.
  • Balance autonomy with accountability, with a strong sense of ownership for delivering AI capabilities that make measurable impact.
  • Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences.
  • Approaches change with openness and curiosity, seeking to understand the “why” and helping teams adapt quickly and effectively.

Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success.

We know that the best ideas and solutions come from multi-dimensional teams. That’s because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don’t be shy - apply today.

At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what’s possible and drive extraordinary impact. We’re building a dynamic and collaborative workplace where new ideas are welcome.

Protecting 11,000+ customers against bad actors and threats means we’re continuing to push the envelope just like we’ve been doing for the past 20 years. If you’re ready to solve some of the toughest challenges in cybersecurity, we’re ready to help you take command of your career. Join us.

Staff AI Engineer in Belfast employer: Rapid7

At Rapid7, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation and creativity. As a Staff AI Engineer in our AI Centre of Excellence, you will have the opportunity to lead cutting-edge projects that directly impact cybersecurity, while benefiting from a culture that prioritises employee growth, mentorship, and the sharing of knowledge. With a commitment to leveraging the latest technologies and a focus on ethical AI practices, Rapid7 is dedicated to empowering its employees to make meaningful contributions in a fast-paced industry.
Rapid7

Contact Detail:

Rapid7 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff AI Engineer in Belfast

✨Tip Number 1

Network like a pro! Attend industry meetups, webinars, and conferences to connect with folks in the AI and cybersecurity space. You never know who might be looking for someone just like you!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those related to cybersecurity. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Don’t just apply – engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and get insider tips on the application process.

✨Tip Number 4

Keep learning! Stay updated on the latest AI trends and tools relevant to cybersecurity. Share your insights on social media or blogs to position yourself as a thought leader in the field.

We think you need these skills to ace Staff AI Engineer in Belfast

AI System Design
Machine Learning Frameworks
Python Programming
Model Lifecycle Management
Data Engineering
Cloud AI Stacks (AWS Bedrock, Sagemaker)
Orchestration Frameworks (CrewAI)
Data Analysis Tools (Pandas, NumPy)
Workflow Automation (Airflow, Databricks)
Cybersecurity Knowledge
Mentoring and Coaching
Communication Skills
Adaptability to Change
Technical Strategy Development

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about using AI to tackle real-world challenges in cybersecurity. Share any relevant projects or experiences that highlight your passion.

Tailor Your Application: Make sure to customise your application to align with the job description. Highlight your experience with Python, ML frameworks, and any tools mentioned. We love seeing candidates who take the time to connect their skills with what we’re looking for!

Be Clear and Concise: While we appreciate detail, clarity is key! Use straightforward language to explain your experiences and achievements. Remember, we want to understand your journey and how it relates to the role without getting lost in jargon.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Rapid7

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI systems, especially in the context of cybersecurity. Be ready to discuss your experience with Python, ML frameworks like TensorFlow or PyTorch, and any cloud AI stacks you've worked with. This will show that you're not just familiar with the tech but can also apply it effectively.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Rapid7 is looking for someone who can design and deliver solutions to complex problems, so having concrete examples ready will demonstrate your capability and creativity.

✨Collaboration is Key

Since the role involves working closely with various teams, be prepared to discuss your experience in collaborative environments. Highlight instances where you've partnered with product managers, engineers, or UX teams to achieve a common goal. This will show that you understand the importance of teamwork in delivering successful AI solutions.

✨Stay Current and Curious

Rapid7 values curiosity and a willingness to learn. Make sure you’re up-to-date with emerging AI technologies and trends. Bring up any recent developments in AI that excite you and think about how they could apply to cybersecurity. This will reflect your passion for the field and your commitment to continuous improvement.

Staff AI Engineer in Belfast
Rapid7
Location: Belfast
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